Triple
T38570273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manifesto |
E929246
|
entity |
| Predicate | numberOfCharactersPlayedByCateBlanchett |
—
|
GENERATED |
| Object | 13 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCharactersPlayedByCateBlanchett Context triple: [Manifesto, numberOfCharactersPlayedByCateBlanchett, 13]
-
A.
hasPortrayedPersonRole
Indicates that an entity has performed or held a specific role in portraying a particular person (e.g., in a film, play, or other representation).
-
B.
helenaBonhamCarterRole
Indicates the acting role or character portrayed by Helena Bonham Carter in a work.
-
C.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
hasPortrayedRole
Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
-
E.
leadActressPlaysCharacter
Indicates that a lead actress portrays or performs the role of a specific character.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.